Hyperbolic

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Hyperbolic

Hyperbolic

@hyperbolic_labs

Open-Access AI Cloud. Affordable Compute & Inference. Instant Access and Reserve GPUs now https://t.co/vfyzj58Tmx

San Francisco, CA Katılım Nisan 2023
189 Takip Edilen50.6K Takipçiler
Hyperbolic
Hyperbolic@hyperbolic_labs·
More H200 capacity is now available on Hyperbolic. Built for memory-heavy workloads, including single-node inference, high-throughput serving, fine-tuning, post-training, long-context, and multimodal workloads. Best for jobs that fit within one 8x H200 node. Multi-node interconnect is coming soon. Available on demand now.
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Hyperbolic
Hyperbolic@hyperbolic_labs·
H100 SXM5 clusters available on-demand right now: • Up to 208 GPUs, 400 Gb/s InfiniBand, bare metal — $2.49/GPU/hr (UK) • Up to 64 GPUs, 400 Gb/s InfiniBand, bare metal — $2.49/GPU/hr (EU) • Smaller VM configs from $2.09/GPU/hr No reservation, no waitlist. Spin up instantly @ app.hyperbolic.ai Get instant access to H100 clusters with InfiniBand available now.
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Hyperbolic
Hyperbolic@hyperbolic_labs·
Hyperbolic just landed on Ramp’s Top SaaS Vendors list for April 2026 — a ranking based on billions of dollars in real spend across 50,000+ companies. When we started Hyperbolic, the thesis was simple: any researcher, whether at a Fortune 500 or a two-person lab, should get instant access to GPU compute without jumping through hoops. As the industry hits this latest supply crunch, we’re proud to still be the place teams turn to when they need capacity now. Thank you to every team running on Hyperbolic — the ones who’ve been with us from the early days and the ones just getting started. This kind of growth only happens because you keep choosing us. Try it yourself → app.hyperbolic.ai
Ara Kharazian@arakharazian

APRIL 2026 fastest growing software companies based on @tryramp spend

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Hyperbolic
Hyperbolic@hyperbolic_labs·
Real-time GPU infrastructure data now powers the world's first regulated compute derivatives market. Hyperbolic Labs x Ornn Exchange: Bringing transparency and hedging to AI compute costs.
Ornn@OrnnExchange

Excited to announce our partnership with @hyperbolic_labs and @zjasper. We’re thrilled to financialize compute resources together. The collaboration integrates Hyperbolics real-time infrastructure data with Ornn's compute price indices and markets.

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Hyperbolic retweetledi
Ornn
Ornn@OrnnExchange·
Excited to announce our partnership with @hyperbolic_labs and @zjasper. We’re thrilled to financialize compute resources together. The collaboration integrates Hyperbolics real-time infrastructure data with Ornn's compute price indices and markets.
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Hyperbolic
Hyperbolic@hyperbolic_labs·
TTT-Discover shows that open models + test-time learning can out-discover closed frontier systems and even humans on real scientific problems. When models can adapt while solving, discovery stops being static and starts becoming alive. Proud Hyperbolic powers the compute behind breakthroughs like this. Run your experiments on Hyperbolic: app.hyperbolic.ai
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Hyperbolic
Hyperbolic@hyperbolic_labs·
Dedicated Model Hosting is live: reserved, single-tenant GPU capacity + a private serving plane so p95/p99, TTFT, throughput, and cost are governed by your provisioned hardware + tuned serving config.
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Hyperbolic
Hyperbolic@hyperbolic_labs·
More H200s Available at $1.99/hr. If you’ve been waiting to test or scale H200 without long-term commitments, now’s a great time to spin up in minutes (VM + RoCE) on Hyperbolic. Longer reservations (with discounts) and dedicated model hosting for guaranteed capacity also available.
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Hyperbolic
Hyperbolic@hyperbolic_labs·
End-to-End Test-Time Training (TTT-E2E) tackles one of the hardest problems in AI: LLM long-context memory. Huge congrats to the team on the release! Happy to support the work with our AI infrastructure, and excited to see more frontier research built on Hyperbolic.
Karan Dalal@karansdalal

LLM memory is considered one of the hardest problems in AI. All we have today are endless hacks and workarounds. But the root solution has always been right in front of us. Next-token prediction is already an effective compressor. We don’t need a radical new architecture. The missing piece is to continue training the model at test-time, using context as training data. Our full release of End-to-End Test-Time Training (TTT-E2E) with @NVIDIAAI, @AsteraInstitute, and @StanfordAILab is now available. Blog: nvda.ws/4syfyMN Arxiv: arxiv.org/abs/2512.23675 This has been over a year in the making with @arnuvtandon and an incredible team.

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Hyperbolic
Hyperbolic@hyperbolic_labs·
Existing users can create an Organization directly from the dashboard. New users can sign up and onboard immediately. Check out our full blog here: hyperbolic.ai/blog/introduci…
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Hyperbolic
Hyperbolic@hyperbolic_labs·
Hyperbolic Organizations are now live. 👇🏻 A unified, secure way for teams to build AI together without shared credentials, scattered billing, or unclear usage. Organizations centralize access, governance, and spend across all AI workflows.
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